{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# =============================================================================\n",
    "# Copyright (c) 2020 NVIDIA. All Rights Reserved.\n",
    "#\n",
    "# Licensed under the Apache License, Version 2.0 (the \"License\");\n",
    "# you may not use this file except in compliance with the License.\n",
    "# You may obtain a copy of the License at\n",
    "#\n",
    "#     http://www.apache.org/licenses/LICENSE-2.0\n",
    "#\n",
    "# Unless required by applicable law or agreed to in writing, software\n",
    "# distributed under the License is distributed on an \"AS IS\" BASIS,\n",
    "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
    "# See the License for the specific language governing permissions and\n",
    "# limitations under the License.\n",
    "# =============================================================================\n",
    "\n",
    "import torch\n",
    "\n",
    "from nemo.backends.pytorch.tutorials import MSELoss, RealFunctionDataLayer, TaylorNet\n",
    "from nemo.core import (\n",
    "    DeviceType,\n",
    "    EvaluatorCallback,\n",
    "    NeuralGraph,\n",
    "    NeuralModuleFactory,\n",
    "    OperationMode,\n",
    "    SimpleLossLoggerCallback,\n",
    ")\n",
    "from nemo.utils import logging\n",
    "from nemo.utils.app_state import AppState\n",
    "\n",
    "# Create Neural(Module)Factory, use CPU.\n",
    "nf = NeuralModuleFactory(placement=DeviceType.CPU)"
   ]
  },
  {
   "attachments": {
    "neural_graphs_general.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Introduction to Neural Graphs (NGs) \n",
    "\n",
    "The Neural Graph is a high-level abstract concept empowering the users to build graphs consisting of many, interconnected Neural Modules. A user in his/her application can build any number of graphs, potentially spanning over the same modules. Once defined, graphs can be trained, exported/saved and imported/restored in other application(s).\n",
    "\n",
    "![neural_graphs_general.png](attachment:neural_graphs_general.png)\n",
    "\n",
    "The import/export/save/restore options combined with the lightweight API make Neural Graphs a perfect tool for rapid prototyping and experimentation.\n",
    "\n",
    "\n"
   ]
  },
  {
   "attachments": {
    "neural_graphs_nesting.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tutorial I: The basic functionality\n",
    "\n",
    "In this first part of the Neural Graphs (NGs) tutorial we will focus on a simple example: training TaylorNet module to approximate a sine wave function. We will build a simple \"model graph\" and show how we can nest it into other graphs.\n",
    "\n",
    "![neural_graphs_nesting.png](attachment:neural_graphs_nesting.png)\n",
    "\n",
    "#### This part covers the following:\n",
    " * how to create a Neural Graph object\n",
    " * how to activate/deactivate graph context (in various ways)\n",
    " * how to bind NG inputs and outpus (in various ways)\n",
    " * how to nest one graph (representing the our \"trainable model\") into training and validation graphs\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Instantiate the necessary neural modules.\n",
    "dl_training = RealFunctionDataLayer(n=10000, batch_size=32)\n",
    "dl_validation = RealFunctionDataLayer(n=10000, batch_size=32)\n",
    "tn = TaylorNet(dim=4)\n",
    "loss = MSELoss()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Build the \"model\"graph.\n",
    "simple_model = NeuralGraph(operation_mode=OperationMode.both)\n",
    "\n",
    "# Activate the \"graph context\".\n",
    "simple_model.activate() \n",
    "\n",
    "# Create bound input port by copying the definition from input port \"x\" of TaylorNet.\n",
    "simple_model.inputs[\"input\"] = tn.input_ports[\"x\"]\n",
    "# Bind the \"x\" input, so that \"x\" of graph will \"lead\" to input port \"x\" of TaylorNet.\n",
    "_ = tn(x=simple_model.inputs[\"input\"])\n",
    "# Add the module for the second time, also binding the port.\n",
    "_ = tn(x=simple_model.inputs[\"input\"])\n",
    "# All outputs will be bound by default.\n",
    "\n",
    "# Deactivate the graph context.\n",
    "simple_model.deactivate()\n",
    "\n",
    "# Let us see what the graph looks like.\n",
    "logging.info(simple_model.summary())\n",
    "# Please note that the graph is NOT COMPLETE, as it:\n",
    "#  * doesn't contain a DataLayer, and\n",
    "#  * has bound input ports that need to be connected."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# And how about a \"model graph\" with an arbitrary graph with a loop?\n",
    "\n",
    "# Create a new graph instance.\n",
    "simple_model = NeuralGraph(operation_mode=OperationMode.both)\n",
    "\n",
    "# Activate the new \"graph context\" using the \"with\" statement.\n",
    "with simple_model:\n",
    "    # As this time we decided to stay with the original port name \"x\", we can use the \"default input binding\".\n",
    "    embeddings = tn(x=simple_model)\n",
    "    # Now create a loop and pass them back as inputs to TaylorNet instance.\n",
    "    prediction = tn(x=embeddings)\n",
    "    # Moreover, we are interested only in the second output, so we must \"manually bind\" it.\n",
    "    simple_model.outputs[\"prediction\"] = prediction\n",
    "# Ending \"with\" closes the \"graph context\".\n",
    "    \n",
    "# Ok, let us see what the graph looks like now.\n",
    "logging.info(simple_model.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Anyway, for the rest of the example let's create a simple \"model graph\" wrapping just one module.\n",
    "\n",
    "# Create a new graph and open it's context in a single line.\n",
    "with NeuralGraph(operation_mode=OperationMode.both) as simple_model:\n",
    "    # As this time we decided to stay with the original port name \"x\", we can use the \"default input binding\".\n",
    "    prediction = tn(x=simple_model)\n",
    "    # Moreover, we are interested only in the second output, so we must \"manually bind\" it.\n",
    "    simple_model.outputs[\"prediction\"] = prediction\n",
    "    \n",
    "# Ok, let us see what the graph looks like now.\n",
    "logging.info(simple_model.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let us now compose a COMPLETE training graph.\n",
    "# In particular, we will \"nest\" our \"model graph\" into this new training graph.\n",
    "with NeuralGraph(operation_mode=OperationMode.training) as training_graph:\n",
    "    # Take outputs from the training DL.\n",
    "    x, t = dl_training()\n",
    "    # Pass them to \"inner\" graph (nest!).\n",
    "    p = simple_model(x=x)\n",
    "    # Pass both of them to loss.\n",
    "    lss = loss(predictions=p, target=t)\n",
    "    # We will use \"loss\" as output during training, so we must \"manually bind\" it.\n",
    "    training_graph.outputs[\"loss\"] = lss\n",
    "    \n",
    "# Ok, let us see what the graph looks like now.\n",
    "logging.info(training_graph.summary())\n",
    "# In the following plaese note that:\n",
    "#  * during nesting the graph was flattened - 3 modules, 3 steps\n",
    "#  * the input passed to \"simple_model\" bound input port were passed to the actual input of TaylorNet\n",
    "#  * the graph is COMPLETE, i.e. there are no inputs that are bound and there is a single datalayer\n",
    "# So in short: we can execute it!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let us compose a COMPLETE validation graph.\n",
    "with NeuralGraph(operation_mode=OperationMode.evaluation) as validation_graph:\n",
    "    # Take outputs from the training DL.\n",
    "    x_valid, t_valid = dl_validation()\n",
    "    # Pass them to the \"simple model\" inner graph.\n",
    "    p_valid = simple_model(x=x_valid)\n",
    "    loss_valid = loss(predictions=p_valid, target=t_valid)\n",
    "\n",
    "# Ok, let us see what the graph looks like now.\n",
    "logging.info(validation_graph.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create training callback logging loss to console.\n",
    "train_callback = SimpleLossLoggerCallback(\n",
    "    tensors=[lss], print_func=lambda x: logging.info(f'Train Loss: {str(x[0].item())}')\n",
    ")\n",
    "\n",
    "# Create evaluator callback logging/aggregating the validation loss to console.\n",
    "def batch_loss_per_batch_callback(tensors, global_vars):\n",
    "    if \"batch_loss\" not in global_vars.keys():\n",
    "        global_vars[\"batch_loss\"] = []\n",
    "    for key, value in tensors.items():\n",
    "        if key.startswith(\"loss\"):\n",
    "            global_vars[\"batch_loss\"].append(torch.mean(torch.stack(value)))\n",
    "\n",
    "\n",
    "def batch_loss_epoch_finished_callback(global_vars):\n",
    "    epoch_loss = torch.max(torch.tensor(global_vars[\"batch_loss\"]))\n",
    "    logging.info(\"Evaluation Loss: {0}\".format(epoch_loss))\n",
    "    return dict({\"Evaluation Loss\": epoch_loss})\n",
    "\n",
    "\n",
    "eval_callback = EvaluatorCallback(\n",
    "    eval_tensors=[loss_valid],\n",
    "    user_iter_callback=batch_loss_per_batch_callback,\n",
    "    user_epochs_done_callback=batch_loss_epoch_finished_callback,\n",
    "    eval_step=100,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Invoke the \"train\" action.\n",
    "nf.reset_trainer()\n",
    "nf.train(\n",
    "    training_graph=training_graph,\n",
    "    callbacks=[train_callback, eval_callback],\n",
    "    optimization_params={\"num_epochs\": 3, \"lr\": 0.0003},\n",
    "    optimizer=\"sgd\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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